著作目錄

Journal:

1.     Yung-Tsai Chu, Chin-Feng Yu, Sung-Pin Fan, Ta-Fu Chen, Ming-Jang Chiu, Jyh-Shing Roger Jang, Shu-I Chiu*, Chin-Hsien Lin*, Substantia nigra nigrosome-1 imaging correlates with the severity of motor symptoms in Parkinson's disease, Journal of the Neurological Sciences, Vol. 451, 2023. (* Corresponding authors)

2.     Chiu, Shu-i; Fan, Ling-Yun; Lin, Chin-Hsien; Chen, Ta-Fu; Lim, Wee Shin;  Jang, Jyh-Shing; Chiu, Ming-Jang, Machine-learning-based classification of subjective cognitive decline, mild cognitive impairment, and Alzheimer’s dementia using neuroimage and plasma biomarkers, ACS Chemical Neuroscience. 2022.

3.     Wee Shin Lim, Shu-i Chiu, Meng-Ciao Wu, Shu-Fen Tsai, Pu-He Wang, Kun-Pei Lin, Yung-Ming Chen, Pei-Ling Peng, Yung-Yaw Chen, Jyh-Shing Roger Jang, Chin-Hsien Lin, MD. An integrated biometric voice and facial features for early detection of Parkinson’s disease. npj Parkinsons Dis. 8, 145 (2022).

4.     段人鳯、邱淑怡、劉慧雯, 以社群媒體語言建構深度學習模型:以「校正回歸」為例, 中文計算語言學期刊;271 (2022 / 06 / 01) P153-179<檔案>

5.     Chang-Fu Su, Shu-I Chiu, Jyh-Shing Roger Jang, Feipei Lai, Improved Inpatient Deterioration Detection in General Wards by Using Time-Series Vital Signs, Scientific reports, 20 May 2022. <Dataset: Training dataset and test dataset>

6.     Ta-Ching Chen, , Artificial Intelligence-Assisted Early Detection of Retinitis Pigmentosa - the Most Common Inherited Retinal DegenerationJ. Digit. Imaging 34(4)948-958 ().

7.     Chin-Hsien Lin, Shu-i Chiu, Ta-Fu Chen, Jyh-Shing Roger Jang and Ming-Jang Chiu. Classifications of neurodegenerative disorders using a multiplex blood biomarkers-based machine learning Model. International Journal of Molecular Sciences, 2020 Sep 21; 21(18):E6914. doi: 10.3390/ijms21186914.

8.     Shu-I Chiu and Kuo-Wei Hsu. Efficiently processing skyline query on multi-instance data. Journal of Information Processing Systems, vol. 13, no 5, pp. 1277-1298, 2017. doi: 10.3745/JIPS.04.0049.

 

Conference:

1.         Shu-i Chiu, Chin-Hsien Lin, Wee Shun Lim, Ming-Jang, Chiu, Ta-Fu, Chen, and Jyh-Shing Roger Jang. Predicting neurodegenerative diseases using a novel blood biomarkers-based model by machine learning. In 2019 International Conference on Technologies and Applications of Artificial Intelligence (TAAI).

2.         Hsiao-Ko Chang, Cheng-Tse Wu, Wee Shin Lim, Hui-Chih Wang, Shu-i Chiu, and Jyh-Shing Roger Jang. Early Detecting In-hospital Cardiac Arrest Based on Machine Learning on Imbalanced Data. In the 7th IEEE International Conference on Healthcare Informatics (ICHI 2019).

3.         Shu-i Chiu and Kuo-Wei Hsu. User Mining to Find Important Facebook Users. In the 2018 7th International Conference on Software and Computer Applications (ICSCA 2018), pp. 110-114, 2018.

4.         Shu-i Chiu and Kuo-Wei Hsu. Predicting political tendency of posts on Facebook. In the 2018 7th International Conference on Software and Computer Applications (ICSCA 2018), pp. 124-128, 2018.

5.         Shu-i Chiu and Kuo-Wei Hsu. Information diffusion on Facebook: A case study of the sunflower student movement in Taiwan. In Proceedings of the 11th International Conference in Ubiquitous Information Management and Communication (Beppu, Japan, Jan. 05 - 07, 2017), 48, 2017.

6.         Che-Chia Chang, Shu-i Chiu, and Kuo-Wei Hsu. Predicting political affiliation of posts on Facebook. In Proceedings of the 11th International Conference in Ubiquitous Information Management and Communication (Beppu, Japan, Jan. 05- 07, 2017), 58, 2017.

7.         Shu-i Chiu and Kuo-Wei Hsu. Skyline query processing for rating data. In Pacific Asia Conference on Information Systems (Chiayi, Taiwan, June 27 - July 1, 2016),305, 2016.

8.         Hsin-Ping Chen, Kuo-Wei Hsu, and Shu-i Chiu. Event detection in an ego network on Facebook. In Pacific Asia Conference on Information Systems (Chiayi, Taiwan, June 27 - July 1, 2016), 172, 2016.